2 papers
cs.LG2025
Riemannian Generative Decoder
Andreas Bjerregaard, Søren Hauberg, Anders Krogh
Euclidean representations distort data with intrinsic non-Euclidean structure. While Riemannian representation learning offers a solution by embedding data onto matching manifolds,…
cs.CV2024
Attenuation-adjusted deep learning of pore defects in 2D radiographs of additive manufacturing powders
Andreas Bjerregaard, David Schumacher, Jon Sporring
The presence of gas pores in metal feedstock powder for additive manufacturing greatly affects the final AM product. Since current porosity analysis often involves lengthy X-ray co…